Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/22367#discussion_r216196589 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala --- @@ -79,7 +79,8 @@ private[csv] object CSVInferSchema { * point checking if it is an Int, as the final type must be Double or higher. */ def inferField(typeSoFar: DataType, field: String, options: CSVOptions): DataType = { - if (field == null || field.isEmpty || field == options.nullValue) { + if (field == null || field.isEmpty || field == options.nullValue || + field == options.emptyValueInRead) { --- End diff -- Also, this will exclude empty strings from type inference. Wonder if that makes sense. Let's target this change for 3.0.0 if you feel in the similar way.
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